Machine Learning 101: Session 1. Setup and Popular Tools. Suitable for Beginners

Please note, this is an online event. You would need to install Zoom (https://zoom.us) and register your profile with zoom.us in advance.

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Schedule
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19:00 - 19:05 - Welcome speech and introduction from WWCode
19:05 - 21:00 - Workshop "Machine Learning 101"
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Talks
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Speaker
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Ying Liu
https://www.linkedin.com/in/yingliu-data/
=== Bio ===
Dr Ying Liu is a research associate of machine learning at the University of Leicester and Tangi0. She graduated in Physics from the Queen Mary University of London in 2020. Her current project is to design a machine learning architecture for gesture recognition. Ying specialises in data analysis, algorithm design, python, cloud computing, docker and TensorFlow. As a passionate researcher, She loves solving difficult problems and explain to others.

=== Abstract ===
Machine learning is becoming a growing topic for almost every company which deals with data. Many industries are developing models for analysing big and complex data to deliver objects faster, more accurate on a vast scale. The history of Machine Learning can trace back to more than 50 years ago. It is a subject which goes hand in hand with statistics. This course provides WWCode members a selection of the most important topics from both Machine Learning and Statistics.
The course will start with basic set up of Google Colab, Tensorflow and a series of python modules, followed by model selection and statistical learning theory.
Major topics:
- Machine Learning setup
- An overview of the “top 10 algorithms in data mining”, model selection
and Bias/Variance
- Support vector machine, regression, boosting
- Clustering, KNN, PCA etc.
- Bayesian analysis
- Decision tree, random forest etc.
- Natural Language Processing

Course 1 (suitable for beginners)

• Understand how to setup a Machine Learning environment.
• Understand the popular tools in Machine Learning analysis/research
• Successfully setup a Machine Learning model for digit recognition.

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About Women Who Code
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Women Who Code is the largest and most active community of engineers dedicated to inspiring women to excel in technology careers. We envision a world where women are representative as technical executives, founders, VCs, board members, and software engineers. Our programs are designed to get you there.

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Code of Conduct
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WWCode London events are dedicated to providing inclusive & safe experiences for everyone. Before attending please read our code of conduct. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct